Ngoc-Thao Nguyen
Papers
1
Total Citations
4
H-Index
1
About
Ngoc-Thao Nguyen is a researcher whose work lies at the intersection of computer vision, autonomous systems, and sensor data processing. Their most-cited paper, "Fast Computation of Dense and Reliable Depth Maps from Stereo Images" (2012), addresses a critical challenge in enabling modern autonomous vehicles and robots to perceive their environments accurately and in real time. By developing algorithms that rapidly produce dense, reliable depth information from stereo camera inputs, Nguyen has contributed foundational techniques for spatial understanding in dynamic settings. This work, which has garnered 4 citations, supports the broader goal of equipping machines with the perceptual capabilities needed for safe and effective autonomous operation. Nguyen's research is particularly relevant as it tackles the practical demands of extracting meaningful data from sensor streams, a key enabler for applications ranging from self-driving cars to robotic navigation. Their contributions underscore a commitment to advancing the reliability and efficiency of computer vision systems, making them a valuable voice in the ongoing development of autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1Fast Computation of Dense and Reliable Depth Maps from Stereo Images4 citations · 2012